Abstract: When image information for the purpose of being printed out has been entered, whether or not the image information contains a mark image such as a watermark is determined to such an extent that will not lower the throughput of a printer. To accomplish this, the image is input and elapsed time starts being measured from the start of detection processing that is for detecting whether a specific image is contained in the input image. If time runs out during the course of detection processing, a decision is rendered to the effect that the image does not contain the specific image.

Abstract: The present invention is a system and method for detecting facial features of humans in a continuous video and superimposing virtual objects onto the features automatically and dynamically in real-time. The suggested system is named Facial Enhancement Technology (FET). The FET system consists of three major modules, initialization module, facial feature detection module, and superimposition module. Each module requires demanding processing time and resources by nature, but the FET system integrates these modules in such a way that real time processing is possible. The users can interact with the system and select the objects on the screen. The superimposed image moves along with the user's random motion dynamically. The FET system enables the user to experience something that was not possible before by augmenting the person's facial images. The hardware of the FET system comprises the continuous image-capturing device, image processing and controlling system, and output display system.

Abstract: An automated symbolic recognition system and method includes a hierarchical hypothesis-and-verification technique during various stages of the handwriting recognition process, whereby a series of initial assessments are made based on the information availed upon them, and later during processing, they are validated or rejected depending on the degree in which preset milestones were satisfied and are followed by a sequence of alternative hypotheses in the event of failure of the latest hypothesis until they are satisfied.

Abstract: A surface inspection apparatus in accordance with the principles of the invention includes an optical system having a plurality of time delay integration (TDI) sensors. The plurality of TDI sensors are arranged to generate a plurality of images of an object so that the images are offset a sub-pixel distance from each other. A scanning element enables the TDI sensors to scan the object so successive images of the object can be generated. Image processing circuitry is used to process the plurality of successive images together to produce a reconstructed image of the object having increased pixel density. The embodiments of the invention also include methods for generating reconstructed images from a plurality of TDI images obtained from at least two offset TDI sensors.

Abstract: A prepress system comprises a raster image processor for developing first print image data to display resolution to create first raster image data, and for developing second print image data to the display resolution to create second raster image data. A plate image inspection processor executes a plate image inspection process by comparing the first and second raster image data, and displays on a display device the result of the plate image inspection process.

Abstract: Techniques are provided to classify patterns in isogenous pattern sources. Techniques are provided to determine a computationally inexpensive upperbound on the true score or joint probability of the field label and field features over all field labels. Candidate field labels associated with promising upperbound scores are dynamically queued. True scores are computed for a subset of the candidates fields resulting in reduced computations to determine a field label. Techniques are also provided to determine optimal variables for any system with shared constraints.

Abstract: In one aspect, the present disclosure describes a process for automatic artifact compensation in a digital representation of an image. The process includes detecting, by a processor, regions corresponding to facial images within the digital representation; locating, by the processor, red-eye regions within the detected regions; and automatically modifying, by the processor, the located red-eye regions to provide a modified image.

Abstract: A method and an arrangement for automatic three-dimensional recording of structures of interest in a sample (15) are disclosed. The arrangement possesses a microscope having at least one microscope objective (13). The images of a sample (15) are acquired using a detector unit (19). A computer system (23) controls acquisition of the images and the microscope functions. The computer system (23) possesses a means (25) for automatically recording the entire marked specimen region in three dimensions.

Abstract: An image recognizing apparatus and method is provided for recognizing behavior of a mobile unit accurately with an image of external environment acquired during the mobile unit is moving. Behavior command output block 12 outputs behavior commands to cause the mobile unit 32 move. Local feature extraction block 16 extracts features of local areas of the image from the image of external environment acquired on the mobile unit 32 when the behavior command is output. Global feature extraction block 18 extracts feature of global area of the image using the features of local areas. Learning block 20 calculates probability models for recognizing behavior given to the mobile unit 32 based on the feature of global area of the image. After learning is finished, behavior of the mobile unit 32 may be recognized rapidly and accurately by applying the probability models to an image of external environment acquired in mobile unit 32 afresh.

Abstract: A character input device for inputting a character by extracting and recognizing a character from an image of a document photographed by a photographing device includes the photographing device. The device stores a recognition result of the extracted and recognized character and reliability indicative of sureness of recognition. Character recognition results of images obtained by repeatedly photographing a whole or part of the document are compared in order to input the character based on a character recognition result whose reliability is highest. A character input method includes adding reliability indicative of sureness of recognition to a recognition result of the character, comparing character recognition results of images obtained by repeatedly photographing the whole or part of the document, and selecting a character recognition result whose reliability is highest.

Abstract: An automated symbolic recognition system and method includes a three phase symbolic reshaping scheme during the symbol recognition process that includes: (a) deriving dissimilarity level from alphanumeric ID's net topological variation and the integration of each of its arcpoly structural variation(s) signifying a reasonably accurate confidence level for the goodness of recognition, thus establishing a mechanism that derives dissimilarity level (or cost value) between image and database features including shape, size and topological relationship, (b) determining the reshaping or transformation of an arcpoly to another arcpoly by introducing variations to the original arcpoly to alter its shape and orientation and deriving at each step, the new cost value as a function of variation(s) present and imposed, and (c) determining the equivalent representation of an arcpoly by a succession of smaller and adjoining arcpoly(s) in order, or vice versa.

Abstract: The invention provides a method for identifying or quantifying characteristics of interest of unknown objects, comprising training a single neural network model with training sets of known objects having known values for the characteristics; validating the optimal neural network model; and analyzing unknown objects having unknown values of the characteristics by imaging them to obtain a digital image comprising pixels representing the unknown objects, background and any debris; processing the image to identify, separate, and retain pixels representing the unknown objects from pixels and to eliminate background and debris; analyzing the pixels representing each of the unknown objects to generate data representative of image parameters; providing the data to the flash code deployed from the candidate neural network model; analyzing the data through the flash code; and receiving output data (the unknown values of the characteristics of interest of the unknown objects) from the flash code in a predetermined forma

Abstract: This invention proposes a feature based data structure for computer manikin that is constructed from the scanned data of common 3D body scanners. The scanned data is first segmented into six parts and then encoded into range images. Feature recognition algorithms are developed and coded into computer algorithms. The software system can automatically recognize the important human feature points and feature curves. The computer manikin is constructed based on the interpolation between the feature curves. The manikin has geodetic latitudinal and longitudinal curves that pass through the geometric feature points of human body. The geodetic coordination contains all the important features that can be extracted as needed for apparel or ergonomic design, medical researches, and movie amusement industry.

Abstract: A method for efficiently and accurately inventorying image features such as timber, including steps of segmenting digital images into tree stands, segmenting tree stands into tree crowns, each tree crown having a tree crown area, classifying tree crowns based on species, and analyzing the tree crown classification to determine information about the individual tree crowns and aggregate tree stands. The tree crown area is used to determine physical information such as tree diameter breast height, tree stem volume and tree height. The tree crown area is also used to determine the value of timber in tree stands and parcels of land using tree stem volume and market price of timber per species.

Abstract: A method detects a moving object in a temporal sequence of images. Images are selected from the temporally ordered sequence of images. A set of functions is applied to the selected images to generate a set of combined images. A linear combination of filters is applied to a detection window in the set of combined images to determine motion and appearance features of the detection window. The motion and appearance features are summed to determine a cumulative score, which enables a classification of the detection window as including the moving object.

Abstract: A projection array is provided that comprises a plurality of discrete projection elements. An image array is obtained of a scene with the light projected onto it that is coded using the projection array. Correspondence information is determined for each element in the image array, where the correspondence information can be used to determine which of the plurality of elements in the projection array corresponds to a particular image element. The determination of correspondence information for each element in the image array can be made independently of correspondence information for other elements in the image array.

Abstract: A method for determining peak summit locations for multiple peaks on a three-dimensional contour includes the step of determining a highest point on the contour. Next, a peak summit of a peak on the contour is identified. The peak summit is related to the highest point on the contour. Next, the points on the contour associated with the peak on the contour are determined, and the contour is modified to zero out the points on the contour associated with the peak. The above steps are then repeated until all of the peak summits on the contour are identified.

Abstract: A system and method for inspecting structures formed on the surface of an object using ultraviolet (UV) light. The object is placed in position and illuminated with at least one wavelength of UV light, directed at its surface from a UV source. At the moment of illumination, an image is captured by a UV-light sensitive camera positioned at an angle calculated to intercept light diffracted at particular an angle of diffraction associated with the pattern of structures formed on the surface of the object. To avoid having to repeatedly reposition the camera, one (or more in succession) illumination wavelength is selected to direct an intensity peak associated with a particular order of diffraction at the camera location. Ideally, a visible-light sensitive camera is also used to capture images of the surface when illumination with UV light results in the emanation of light in the visible portion of the spectrum.

Abstract: System and methods for non-intrusive real-time eye detection and tracking are disclosed. A subject's eyes can be detected by using active illumination analysis to generate a difference image of the subject. In the difference image, the bright pupil effect intensifies the appearance of the subject's pupils. A component analysis can be used to identify a set of pupil candidates from the difference image. An appearance-based analysis can be applied to the pupil candidates to identify the subject's eyes from background noise that can occur under various lighting conditions. After the subject's eyes are detected, a multi-stage tracking process is disclosed for detecting real-time eye movements. Further features are disclosed such as an image acquisition apparatus that reduces external illumination interferences.

Abstract: A method and apparatus for reducing the magnitude and edge clarity of the luminosity of an undesired image of a external object reflected from a portion of a surface of a visual display into the eye of a user includes placing a cover in the path of the reflected image. The cover has a surface portion which is not parallel to the portion of the surface of the display. As result the reflections from the cover and from the display surface portions provide multiple images of the external object to the user each having a luminosity magnitude which is less than the magnitude of the luminosity of the undesired image that would occur if the cover was parallel to the display surface portion thereby resulting in super-imposed images.